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Littérature scientifique sur le sujet « Three dimensional body scanning »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 12 février 2022

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Articles de revues sur le sujet "Three dimensional body scanning"

Fenster, Aaron, Grace Parraga et Jeff Bax. « Three-dimensional ultrasound scanning ». Interface Focus 1, n^o 4 (juin 2011) : 503–19. http://dx.doi.org/10.1098/rsfs.2011.0019.

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The past two decades have witnessed developments of new imaging techniques that provide three-dimensional images about the interior of the human body in a manner never before available. Ultrasound (US) imaging is an important cost-effective technique used routinely in the management of a number of diseases. However, two-dimensional viewing of three-dimensional anatomy, using conventional two-dimensional US, limits our ability to quantify and visualize the anatomy and guide therapy, because multiple two-dimensional images must be integrated mentally. This practice is inefficient, and may lead to variability and incorrect diagnoses. Investigators and companies have addressed these limitations by developing three-dimensional US techniques. Thus, in this paper, we review the various techniques that are in current use in three-dimensional US imaging systems, with a particular emphasis placed on the geometric accuracy of the generation of three-dimensional images. The principles involved in three-dimensional US imaging are then illustrated with a diagnostic and an interventional application: (i) three-dimensional carotid US imaging for quantification and monitoring of carotid atherosclerosis and (ii) three-dimensional US-guided prostate biopsy.

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Xu, Bugao. « Three-dimensional body scanning system for apparel mass customization ». Optical Engineering 41, n^o 7 (1 juillet 2002) : 1475. http://dx.doi.org/10.1117/1.1478700.

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WELLS, J. C. K., I. DOUROS, N. J. FULLER, M. ELIA et L. DEKKER. « Assessment of Body Volume Using Three-Dimensional Photonic Scanning ». Annals of the New York Academy of Sciences 904, n^o 1 (25 janvier 2006) : 247–54. http://dx.doi.org/10.1111/j.1749-6632.2000.tb06460.x.

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Yue, Haosong, Yue Yu, Weihai Chen et Xingming Wu. « Accurate three dimensional body scanning system based on structured light ». Optics Express 26, n^o 22 (19 octobre 2018) : 28544. http://dx.doi.org/10.1364/oe.26.028544.

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Chiu, Chaochang, Kuang-Hung Hsu, Pei-Lun Hsu, Chi-I. Hsu, Po-Chi Lee, Wen-Ko Chiou, Thu-Hua Liu, Yi-Chou Chuang et Chorng-Jer Hwang. « Mining Three-Dimensional Anthropometric Body Surface Scanning Data for Hypertension Detection ». IEEE Transactions on Information Technology in Biomedicine 11, n^o 3 (mai 2007) : 264–73. http://dx.doi.org/10.1109/titb.2006.884362.

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Schloesser, R. L., M. Lauff, H. Buxmann, K. Veit, D. Fischer et A. Allendorf. « Three-Dimensional Body Scanning : A New Method to Estimate Body Surface Area in Neonates ». Neonatology 100, n^o 3 (2011) : 260–64. http://dx.doi.org/10.1159/000327516.

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Pandis, Petros, et Anthony MJ Bull. « A low-cost three-dimensional laser surface scanning approach for defining body segment parameters ». Proceedings of the Institution of Mechanical Engineers, Part H : Journal of Engineering in Medicine 231, n^o 11 (17 août 2017) : 1064–68. http://dx.doi.org/10.1177/0954411917727031.

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Body segment parameters are used in many different applications in ergonomics as well as in dynamic modelling of the musculoskeletal system. Body segment parameters can be defined using different methods, including techniques that involve time-consuming manual measurements of the human body, used in conjunction with models or equations. In this study, a scanning technique for measuring subject-specific body segment parameters in an easy, fast, accurate and low-cost way was developed and validated. The scanner can obtain the body segment parameters in a single scanning operation, which takes between 8 and 10 s. The results obtained with the system show a standard deviation of 2.5% in volumetric measurements of the upper limb of a mannequin and 3.1% difference between scanning volume and actual volume. Finally, the maximum mean error for the moment of inertia by scanning a standard-sized homogeneous object was 2.2%. This study shows that a low-cost system can provide quick and accurate subject-specific body segment parameter estimates.

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Stewart, Arthur D. « Kinanthropometry and body composition : A natural home for three-dimensional photonic scanning ». Journal of Sports Sciences 28, n^o 5 (mars 2010) : 455–57. http://dx.doi.org/10.1080/02640411003661304.

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WU, Defeng. « Novel Approach to Calibrate Main Body of a Three-dimensional Scanning Robotic System ». Journal of Mechanical Engineering 47, n^o 17 (2011) : 9. http://dx.doi.org/10.3901/jme.2011.17.009.

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Mah, Tannie, et Guowen Song. « An investigation of the assessment of fabric drape using three-dimensional body scanning ». Journal of the Textile Institute 101, n^o 4 (15 mars 2010) : 324–35. http://dx.doi.org/10.1080/00405000802417122.

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Thèses sur le sujet "Three dimensional body scanning"

Ryder, Justin. « Three-dimensional Body Scanning| A Novel Technique for Body Composition Assessment ». Thesis, University of Missouri - Columbia, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13850748.

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INTRODUCTION: Accurate body composition assessment is crucial for determining health consequences due to excess body fat (BF). While several techniques exist there are few that are accurate, non-invasive, fast, and comfortable for subjects. The Three Dimensional (3D) body scanner is a new body composition assessment method that might serve as another option for investigators and practitioners. The purpose of this study was to determine the accuracy of the 3D body scanner at measuring body composition using dual energy x-ray absorptiometry (DXA) and Air displacement plethysmography (Bod Pod) as criterion measures. The 3D body scanner was evaluated on its ability to work with differences in normal versus overweight subjects as determined by BMI. Also, a new prediction equation was created and compared to that of an existing equation used by the 3D body scanner developed by the Department of Defense (DoD).

METHODS: Eighty-Five male subjects (21.70 ± 2.28 yr old; 81.00 ± 12.21 kg; 25.37 ± 3.40 kg/m²) completed all body composition assessment techniques on the same day. Tests preformed included: DXA, Bod Pod, and 3D body scanning. Subjects did not eat or drink 2 hr previous to testing and did not exercise 4 hr previous to testing. Data was analyzed using SPSS version 17.0. Bland-Altmand plots, Pearson correlations, and a oneway ANOVA comparing means were performed. A prediction equation (3D MU) was created using a stepwise regression based on correlation to DXA.

RESULTS: Mean comparison of body composition techniques were as follows: DXA BF 16.30 ± 4.67; Bod Pod 12.17± 7.19; DoD 13.53 ± 6.43; 3D MU 16.49 ± 4.16. 3D MU had a SEE=3.09 over the entire sample compared to DoD SEE=3.67 and Bod Pod SEE=2.45. Although body volumes of Bod Pod and 3D Scanner were highly correlated (r = 0.984; p =0.001), the 3D Scanner underestimated body volume. Improvement in making consistent estimations of head, hand, and feet are necessary for the 3D body scanner to be used for body composition assessment.

CONCLUSION: Although the 3D body scanner shows promise as a method of evaluating BF, more work is needed before it can be considered an acceptable laboratory method of assessment. A 3D MU prediction equation was created that appears to be more accurate for young men than the current DoD equation. 3D body scanning shows potential as a method for determining body composition in overweight subjects.

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Chiu, Chuang-Yuan. « Rapid three-dimensional photonic scanning system for body volume measurement and body shape visualization ». Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/22003.

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Traditional three-dimensional (3D) photonic scanning (3DPS) can be used to obtain body volume data and to enable visualization of 3D body shape in one rapid scan, which is helpful for determining people’s obesity level, health risk and sport performance as well as motivating individuals to reduce weight efficiently. Nevertheless, traditional 3DPS is restricted to expensive and fixed hardware and specific software that requires specialist interpretation in laboratory settings, which reduces possible applications. Therefore, the purpose of this research was to develop a fast, inexpensive, portable and automatic 3DPS system to measure body volume data and to display body shape in 3D. To ensure that the system could be used for monitoring changes over time, the accuracy and reliability of the estimated body volumes were also established. Four studies and one technical description were conducted to achieve the purpose of this research. In the first three studies, a new technique, DScan, was developed that could generate individual 3D human models and calculate body volume. In Study 1, the reliability of the body dimension features obtained by four extraction methods was compared to find an appropriate method to improve the quality of extracted body dimension features. In Study 2, two different parameter groups were compared to enable subsequent selection of appropriate parameters to generate realistic 3D human models. A procedure and a program were presented which can set the parameters to match the extracted features and generate individual 3D human models effectively. In Study 3, Blender scripts and shell scripts were used to develop a customized program which can obtain body volume data from generated 3D human models. In Study 4, the accuracy and the reliability of the body volume data acquired from DScan were examined by comparing with the traditional 3DPS and the geometric modelling technique, elliptical zone (E-Zone). In the technical description, a Body Shape Monitoring System (BSMS) which can help non-expert users complete the DScan procedure and visualize body shape changes was introduced. The processing speed, cost and portability of the introduced BSMS were also shown in the technical description. The accuracy of the BSMS for whole-body volume indicated by an inter-method relative technical error of measurement was within 5% of that obtained from the traditional 3DPS. The repeated reliability expressed as an intra-method relative technical error of measurement was under 3% for whole-body volume. The accuracy and the reliability of the BSMS for segmental volumes (upper torso, lower torso, upper arm, lower arm, thigh and shank) indicated by inter-method and intra-method relative technical error of measurements were less than 10% and 5% respectively. These were similar to those obtained by the E-Zone. The BSMS reduces the requirement of hardware, software and expert knowledge as well as the processing time compared to other techniques of quantifying whole-body volume and segmental volumes. The GUI of the BSMS enables it to be used without specific training in computer programing or machine operation. The system is highly portable, and its components are inexpensive (under £700). Each analysis can be completed in three minutes without requiring subjective interpretations. The results showed that the system has the potential to be applied in the domains of health and medicine, the fashion industry, ergonomics, and sports science. Further studies should be conducted to develop a complete system which is consequently suitable for home use.

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Simão, Bruno Rodrigo. « Determinação de área, volume e massa em animais de interesse zootécnico ». Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/152324.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
A fim de utilizar a modelagem tridimensional (3D) para estimar área, volume e massa, bem como avaliar o impacto dos desvios envolvidos nas equações empíricas disponíveis na literatura, em animais, foram utilizados seis ovinos Corriedale tosqueados com massa entre 10 e 105 kg e cinco bovinos Nelore com massa entre 600 a 800 kg. Os animais foram treinados utilizando os princípios de habituação e condicionamento, a fim de reduzir a reatividade dos animais. Para medição da área de superfície, utilizaram-se basicamente três procedimentos: equação empírica (EE) para cada espécie, instrumento manual de medição (IMM) e modelagem 3D do animal por fotogrametria (AR) e escaneamento com sensor kinect (AS_KS). Foi realizada uma análise de covariância, sendo a massa a covariável e uma análise de regressão não linear foi ajustada como uma função potência (alometria). Analisando as médias de área de superfície, para ovinos, em relação aos procedimentos utilizados não houve diferença entre IMM e modelos 3D, bem como entre os modelos 3D, enquanto entre IMM e EE houve diferença significativa. Para os bovinos, observou-se que os procedimentos 3D foram, em média, superiores às estimativas de área de superfície pela EE (a=5%). Quando se plotou os dados de área de superfície, de ovinos, dos métodos testados em função da massa corporal, obteve-se aproximações empíricas distintas daquelas estimadas pela EE em mais de 11% para animais acima de 100kg, enquanto que para os bovinos a diferença média entre os modelos 3D e EE foi de mais de 18%. Como os ajustes das equações com IMM e por modelos 3D tiveram taxas de crescimento muito próximas e os desvios entre elas foram inferiores a 2%, constatou-se que o uso de modelos 3D foi ratificado. Quando se plotou os dados de ambas as espécies, observou-se excelentes ajustes (R²=0.99) e estimativas consistentes com aquelas obtidas pelas equações específicas para cada raça, com desvios inferiores a 3,2%. Outras relações, como volume em função da área de superfície, foram estabelecidas, resultando em aproximações consistentes quando utilizada para estimar o volume do animal. Quando se considerou o animal como um Cilindro Horizontal Padrão (CHP), sua área de superfície foi estimada, em média, 36% abaixo daquelas observadas para os modelos 3D e IMM. Por meio da simulação da transferência de calor por convecção, obteve-se uma diferença de mais 56% na taxa de convecção quando se considerou o animal como um CHP em relação aos modelos 3D e cilindro horizontal completo (CHC). Quando se relacionou as informações das imagens bidimensionais (2D) com as informações dos modelos 3D, foi possível encontrar equações para estimar área, volume e massa dos animais. Outra abordagem que ficou constatada foi a utilização de modelos 3D para avaliação em melhoramento genético, como pelo método EPMURAS. O uso de modelos 3D para estimar a área de superfície e volume em animais foi validado. O método parece ser o melhor meio para estimar a área de superfície e volume, e certamente aparece como uma ferramenta para melhorar as pesquisas envolvendo transferência de calor e massa, bem como o melhoramento genético.
In order to use three-dimensional (3D) modeling to estimate area, volume and mass, as well as to evaluate the impact of the deviations involved in the empirical equations available in the literature, in livestock, six shorn Corriedale sheep were weighed with mass between 10 and 105 kg and five Nelore cattle with mass between 600 and 800 kg. The animals were trained using the principles of habituation and conditioning in order to reduce the reactivity of the animals. For the measurement of the surface area, three procedures were used: empirical equation (EE) for each species, manual measurement instrument (IMM) and 3D animal modeling by photogrammetry (AR) and kinect sensor (AS_KS) scanning. A covariance analysis was performed, with the mass being covariable and a non-linear regression analysis was adjusted as a power function (allometry). Analyzing the surface area averages for sheep, in relation to the procedures used there was no difference between IMM and 3D models, as well as between 3D models, while between IMM and EE there was a significant difference. For cattle, it was observed that the 3D procedures were, on average, higher than the surface area estimates by EE (a=5%). When data were plotted on the surface area of sheep and the methods tested for body mass, empirical approximations were obtained, different from those estimated by EE in more than 11% for animals over 100 kg, while for cattle the difference between 3D and EE models was over 18%. As the adjustments of the equations with IMM and 3D models had very close growth rates and deviations between them were lower than 2%, it was verified that the use of 3D models was ratified. When plotting the data of both species, we observed excellent adjustments (R² = 0.99) and estimates consistent with those obtained by the specific equations for each breed, with deviations lower than 3.2%. Other relationships, such as volume versus surface area, were established, resulting in consistent approximations when used to estimate the volume of the animal. When the animal was considered as a Standard Horizontal Cylinder (CHP), its surface area was estimated, on average, 36% lower than those observed for the 3D and IMM models. Simulation of the heat transfer by convection gave a difference of 56% in the convection rate when the animal was considered as a CHP in relation to the 3D models and the full horizontal cylinder (HCC). When the information of the two-dimensional images (2D) was related to the information of the 3D models, it was possible to find equations to estimate area, volume and mass of the animals. Another approach that was verified was the use of 3D models for evaluation in genetic improvement, as by the EPMURAS method. The use of 3D models to estimate surface area and volume in animals was validated. The method seems to be the best medium for estimating surface area and volume, and it certainly appears as a tool to improve research involving heat and mass transfer as well as genetic improvement.
CAPES 1367458
CAPES 1443570
CAPES 1707637
CNPq 166449/2017-2

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Sabo, Stanislav. « Tvorba 3D modelu budovy s využitím laserového skenování ». Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2016. http://www.nusl.cz/ntk/nusl-390227.

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The aim of this thesis is to scan the part of the interior and exterior of the Faculty of Electrical Engineering and Communication building using the FARO Focus3D X 130 scanner, and the creation of a 3D model in the WGS 84 system. Subsequently, methods, status and utilization research of this technology and point cloud processing software is provided. The collected data are processed in the SCENE. Three-dimensional model is designed using the Pointfuse and Microstation V8i programs. In the end, the registration accuracy of the scans and the resulting 3D model accuracy are evaluated.

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Schilling, Bradley Wade Jr. « Three-Dimensional Fluorescence Microscopy by Optical Scanning Holography ». Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/29829.

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As three-dimensional (3D) imaging and fluorescence techniques become standard in optical microscopy, novel approaches to 3D fluorescence microscopy are emerging. One such approach is based on the incoherent holography technique called optical scanning holography (OSH). The main advantage of OSH-based microscopy is that only a single two-dimensional (2D) scan is required to record 3D information, whereas most current 3D microscopes rely on sectioning techniques. To acquire a 3D representation of an object, current microscopes must physically scan the specimen in a series of 2D sections along the z-axis. In order to record holograms by OSH, the fluorescent specimen is scanned with an optically heterodyned laser field consisting of a Fresnel zone pattern. A unique acousto-optic modulator configuration is employed to generate a suitable heterodyne frequency for excitation of the fluorescent object. The optical response of a solution containing a high concentration of 15 um fluorescent latex beads to this type of excitation field has been recorded. In addition, holograms of the same beads have been recorded and reconstructed. To demonstrate the 3D imaging capability of the technique, the hologram includes beads with longitudinal separation of about 2 mm. A detailed comparison of 3D fluorescence microscopy by OSH and the confocal approach was conducted. Areas for comparison were 3D image acquisition time, resolution limits and photobleaching. The analysis shows that an optimized OSH-based fluorescence microscope can offer improved image acquisition time with equal lateral resolution, but with degraded longitudinal resolution when compared to confocal scanning optical microscopy (CSOM). For the photobleaching investigation, the parameter of concern is the fluence received by the specimen during excitation, which takes into account both the irradiance level and the time of illumination. Both peak and average fluence levels are addressed in the comparison. The analysis shows that during a 3D image acquisition, the OSH system will deliver lower peak fluence but higher average fluence levels to the specimen when compared to CSOM.
Ph. D.

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Javid, Shawn Farhang. « Three-dimensional image processing using voxels ». Thesis, University College London (University of London), 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312149.

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Honiball, Marike. « Three-dimensional scanning as a means of archiving sculptures ». Thesis, [Bloemfontein?] : Central University of Technology, Free State, 2011. http://hdl.handle.net/11462/149.

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Thesis (M. Tech. Design technology) -- Central University of Technology, Free State, 2011
This dissertation outlines a procedural scanning process using the portable ZCorporation ZScanner® 700 and provides an overview of the developments surrounding 3D scanning technologies; specifically their application for archiving Cultural Heritage sites and projects. The procedural scanning process is structured around the identification of 3D data recording variables applicable to the digital archiving of an art museum’s collection of sculptures. The outlining of a procedural 3D scanning environment supports the developing technology of 3D digital archiving in view of artefact preservation and interactive digital accessibility. Presented in this paper are several case studies that record 3D scanning variables such as texture, scale, surface detail, light and data conversion applicable to varied sculptural surfaces and form. Emphasis is placed on the procedural documentation and the anomalies associated with the physical object, equipment used, and the scanning environment. In support of the above, the Cultural Heritage projects that are analyzed prove that 3D portable scanning could provide digital longevity and access to previously inaccessible arenas for a diverse range of digital data archiving infrastructures. The development of 3D data acquisition via scanning, CAD modelling and 2D to 3D data file conversion technologies as well as the aesthetic effect and standards of digital archiving in terms of the artwork – viewer relationship and international practices or criterions of 3D digitizing are analysed. These projects indicate the significant use of optical 3D scanning techniques and their employ on renowned historical artefacts thus emphasizing their importance, safety and effectiveness. The aim with this research is to establish that the innovation and future implications of 3D scanning could be instrumental to future technological advancement in an interdisciplinary capacity to further data capture and processing in various Cultural Heritage diagnostic applications.

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Redpath, Steven F. « Crack detection in a three dimensional body ». Diss., Click here for available full-text of this thesis, 2006. http://library.wichita.edu/digitallibrary/etd/2006/t072.pdf.

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Brown, William Ray. « A three-dimensional quantitative biomechanical analysis of left handed scanning ». [Ames, Iowa : Iowa State University], 2007.

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Khmaladze, Alexander. « Three-dimensional microscopy by laser scanning and multi-wavelength digital holography ». [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002638.

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Livres sur le sujet "Three dimensional body scanning"

BodyVoyage : A three-dimensional tour of a real human body. New York, N.Y : Warner Books, 1997.

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Chen, Shyh-ching. Three-dimensional adaptive grid generation for body-fitted coordinate system. [Washington, DC] : National Aeronautics and Space Administration, 1988.

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Chen, Shyh-ching. Three-dimensional adaptive grid generation for body-fitted coordinate system. [Washington, DC] : National Aeronautics and Space Administration, 1988.

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Havel, K. N bodies--no problem : Unrestricted two and three dimensional solutions. Brampton, ON : Grevyt Press, 2005.

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Maurice, Holt. 3D characteristics. Hampton, VA : Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1998.

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Slob, Siefko. Automated rock mass characterisation using 3-D terrestrial laser scanning. [Enschede, Netherlands] : ITC, 2010.

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Chen, Y. S. A computer code for three-dimensional incompressible flows using nonorthogonal body-fitted coordinate systems. Marshall Space Flight Center, Ala : Marshall Space Flight Center, 1986.

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Kwong, Chung-Ming. Three-dimensional separated flow prediction on fusiform body using euler and boundary layer methods. Salford : University of Salford, 1989.

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Ross, Robert J. Use of laser scanning technology to obtain as-built records of historic covered bridges. Madison, Wis : U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, in cooperation with the U.S. Dept. of Transportation, Federal Highway Administration, 2012.

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Brandt, Roland, et Lidia Bakota. Laser scanning microscopy and quantitative image analysis of neuronal tissue. New York : Humana Press, 2014.

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Chapitres de livres sur le sujet "Three dimensional body scanning"

Reid, Louise F., Gianpaolo Vignali, Katharine Barker, Courtney Chrimes et Rachel Vieira. « Three-Dimensional Body Scanning in Sustainable Product Development : An Exploration of the Use of Body Scanning in the Production and Consumption of Female Apparel ». Dans Technology-Driven Sustainability, 173–94. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15483-7_10.

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Wang, Ye-Liang, Qi Liu, Hai-Gang Zhang, Hai-Ming Guo et Hong-Jun Gao. « Molecular Rotors Observed by Scanning Tunneling Microscopy ». Dans Three-Dimensional Nanoarchitectures, 287–316. New York, NY : Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9822-4_11.

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Whittier, Cadence Joy, et Kim Cooper Geigerich. « Discovering the three-dimensional body ». Dans Creative Ballet Teaching, 117–37. New York, NY : Abingdon, Oxon : Routledge, [2017] : Routledge, 2017. http://dx.doi.org/10.4324/9781315618067-7.

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Délery, Jean. « Separated Flow on a Body ». Dans Three-dimensional Separated Flow Topology, 47–68. Hoboken, NJ USA : John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118578544.ch3.

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Duell, E. G., et A. R. George. « Unsteady Wakes of Three Dimensional Bodies ». Dans Bluff-Body Wakes, Dynamics and Instabilities, 293–96. Berlin, Heidelberg : Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-00414-2_64.

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Pascalutsa, V., et J. A. Tjon. « Lorentz covariance of three-dimensional equations ». Dans Few-Body Problems in Physics ’98, 105–14. Vienna : Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-6798-4_18.

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Batra, Varun, et Vijay Kumar. « Developments in Three-Dimensional Scanning Techniques and Scanners ». Dans Lecture Notes in Mechanical Engineering, 59–88. Singapore : Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8304-9_5.

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Ferreira, João Filipe, et Jorge Dias. « Three-Dimensional Planar Profile Registration in 3D Scanning ». Dans Lecture Notes in Computer Science, 617–24. Berlin, Heidelberg : Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11559573_76.

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Délery, Jean. « Separation Induced by an Obstacle or a Blunt Body ». Dans Three-dimensional Separated Flow Topology, 91–120. Hoboken, NJ USA : John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118578544.ch5.

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Melezhik, V. S. « New Method for Solving Three-Dimensional Schroedinger Equation ». Dans Few-Body Problems in Physics, 550–56. Vienna : Springer Vienna, 1992. http://dx.doi.org/10.1007/978-3-7091-7581-1_60.

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Actes de conférences sur le sujet "Three dimensional body scanning"

Finat, Javier, et Antonio Hurtado. « Three-Dimensional Features for Facial Gestures Simulation ». Dans 1st International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 19-20 October 2010. Ascona, Switzerland : Hometrica Consulting - Dr. Nicola D'Apuzzo, 2010. http://dx.doi.org/10.15221/10.237.

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Dabolina, Inga, Ausma Vilumsone et Janis Dabolins. « Anthropometrical Measurements for Three-Dimensional Clothing Design ». Dans 1st International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 19-20 October 2010. Ascona, Switzerland : Hometrica Consulting - Dr. Nicola D'Apuzzo, 2010. http://dx.doi.org/10.15221/10.404.

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Bong, Yii Bonn, Amir F. Merican, Suhaila Azhar, Tahereh Mokhtari, Abdul Majid Mohamed et Asma A. Shariff. « Three-Dimensional (3D) Anthropometry Study of the Malaysian Population ». Dans 5th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 21-22 October 2014. Ascona, Switzerland : Hometrica Consulting - Dr. Nicola D'Apuzzo, 2014. http://dx.doi.org/10.15221/14.167.

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PUCCIARELLI, Valentina, Marina CODARI, Chiara INVERNIZZI, Simona BERTOLI, Alberto BATTEZZATI, Ramona DE AMICIS, Valentina DE GIORGIS, Pierangelo VEGGIOTTI et Chiarella SFORZA. « Three-Dimensional Craniofacial Features of Glut1 Deficiency Syndrome Patients ». Dans 6th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 27-28 October 2015. Ascona, Switzerland : Hometrica Consulting - Dr. Nicola D'Apuzzo, 2015. http://dx.doi.org/10.15221/15.061.

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Lee, Juhun, Brian Ku, Adriana C. Da Silveira et Mia K. Markey. « Three-Dimensional Analysis of Facial Asymmetry of Healthy Hispanic Children ». Dans 3rd International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 16-17 October 2012. Ascona, Switzerland : Hometrica Consulting - Dr. Nicola D'Apuzzo, 2012. http://dx.doi.org/10.15221/12.133.

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Faust, Marie-Eve, et Serge Carrier. « Three Dimensional (3D) Body Scanner for Apparel Shoppers Would Make Commerce Easier ». Dans 1st International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 19-20 October 2010. Ascona, Switzerland : Hometrica Consulting - Dr. Nicola D'Apuzzo, 2010. http://dx.doi.org/10.15221/10.068.

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Kovacs, Laszlo, Fee Armbrecht, Stefan Raith, Alexander Volf, Nikolaos A. Papadopulos et Maximilian Eder. « Computer-Assisted Intuitive Breast Surgery Planning Using Three-Dimensional Surface Imaging ». Dans 1st International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 19-20 October 2010. Ascona, Switzerland : Hometrica Consulting - Dr. Nicola D'Apuzzo, 2010. http://dx.doi.org/10.15221/10.084.

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Jezersek, Matija, et Janez Mozina. « Laser Based Three-Dimensional Measurement of Entire Foot Shape During Motion ». Dans 1st International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 19-20 October 2010. Ascona, Switzerland : Hometrica Consulting - Dr. Nicola D'Apuzzo, 2010. http://dx.doi.org/10.15221/10.141.

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CHROMY, Adam, et Ludek ZALUD. « Three-dimensional Thermal Imaging in Medicine ». Dans 3DBODY.TECH 2017 - 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Montreal QC, Canada, 11-12 Oct. 2017. Ascona, Switzerland : Hometrica Consulting - Dr. Nicola D'Apuzzo, 2017. http://dx.doi.org/10.15221/17.232.

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Mah, Tannie, et Guowen Song. « The Application of Three-Dimensional (3-D) Body Scanner in Fabric Drape Assessment ». Dans 2nd International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 25-26 October 2011. Ascona, Switzerland : Hometrica Consulting - Dr. Nicola D'Apuzzo, 2011. http://dx.doi.org/10.15221/11.234.

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Rapports d'organisations sur le sujet "Three dimensional body scanning"

Romeo, Laurel D., Casey R. Stannard, Brianna Bourgeois, Dustin Latimer et Xin Li. Three-Dimensional Body Scanning Technology : Comparison of Four Different Acquisition Systems for Apparel Product Development. Ames : Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-447.

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Szewczyk, Albin A., et Peter Bearman. Effects of Three-Dimensional Imposed Disturbance on Bluff-Body Near Wake Flows. Fort Belvoir, VA : Defense Technical Information Center, décembre 1990. http://dx.doi.org/10.21236/ada232137.

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Szewczyk, Albin A. The Effects of Three-Dimensional Imposed Disturbances on Bluff Body Near Wake Flows. Fort Belvoir, VA : Defense Technical Information Center, septembre 1992. http://dx.doi.org/10.21236/ada259501.

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Williamson, C. H. Three-Dimensional Aspects of Nominally 2-D and 3-D Bluff Body Wakes. Fort Belvoir, VA : Defense Technical Information Center, décembre 1995. http://dx.doi.org/10.21236/ada311428.

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Wilson, Anthony, et Cynthia L. Istook. Body Shape Classifications of Males 26 to 35 Using Size USA Three-Dimensional Scan Data. Ames (Iowa) : Iowa State University. Library, janvier 2019. http://dx.doi.org/10.31274/itaa.8805.

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Szewczyk, Albin A. The Effects of Three-Dimensional Imposed 3-D Disturbances on Bluff-Body Near Wake Flows. Fort Belvoir, VA : Defense Technical Information Center, octobre 1993. http://dx.doi.org/10.21236/ada274845.

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Yue, Dick K., et Yuming Liu. Deterministic Modeling of Water Entry and Drop of An Arbitrary Three-Dimensional Body - A Building Block for Stochastic Model Development. Fort Belvoir, VA : Defense Technical Information Center, août 2001. http://dx.doi.org/10.21236/ada626995.

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Yan, Yujie, et Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, mai 2021. http://dx.doi.org/10.17760/d20410114.

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Résumé :

Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-consuming and expensive. The main objective of this study is to develop methods and algorithms to automate the post-processing of the visual sensor data towards the extraction of three main categories of information: 1) object information such as object identity, shapes, and spatial relationships - a novel heuristic-based method is proposed to automate the detection and recognition of main structural elements of steel girder bridges in both terrestrial and unmanned aerial vehicle (UAV)-based laser scanning data. Domain knowledge on the geometric and topological constraints of the structural elements is modeled and utilized as heuristics to guide the search as well as to reject erroneous detection results. 2) structural damage information, such as damage locations and quantities - to support the assessment of damage associated with small deformations, an advanced crack assessment method is proposed to enable automated detection and quantification of concrete cracks in critical structural elements based on UAV-based visual sensor data. In terms of damage associated with large deformations, based on the surface normal-based method proposed in Guldur et al. (2014), a new algorithm is developed to enhance the robustness of damage assessment for structural elements with curved surfaces. 3) three-dimensional volumetric models - the object information extracted from the laser scanning data is exploited to create a complete geometric representation for each structural element. In addition, mesh generation algorithms are developed to automatically convert the geometric representations into conformal all-hexahedron finite element meshes, which can be finally assembled to create a finite element model of the entire bridge. To validate the effectiveness of the developed methods and algorithms, several field data collections have been conducted to collect both the visual sensor data and the physical measurements from experimental specimens and in-service bridges. The data were collected using both terrestrial laser scanners combined with images, and laser scanners and cameras mounted to unmanned aerial vehicles.

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